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March 16, 2024International Journal of Applied Earth Observation and GeoinformationOpen Access

Automated deformation detection and interpretation using InSAR data and a multi-task ViT model

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Authors

MAMahmoud AbdallahSYS. H. YounisSWSongbo Wu

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Cite This Study

Abdallah et al. (2024) studied this question.

synapsesocial.com/papers/68e73b96b6db6435876b51c6https://doi.org/10.1016/j.jag.2024.103758
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Machine learning for volcano deformation using InSAR: moving beyond detection and classification to forecasting2024
  2. 2Simultaneous Classification and Location of Volcanic Deformation in SAR Interferograms Using a Convolutional Neural Network2024 · 6 citations
  3. 3Multi-Temporal InSAR and Machine Learning for Geohazard Monitoring: A Systematic Review with Emphasis on Noise Mitigation and Model Transferability2026 · 2 citations
  4. 4Improving the Assessment of Post-Earthquake Building Damage in Underdeveloped Regions with Vision Transformers2025
  5. 5Improving ground deformation prediction in satellite InSAR using ICA-assisted RNN model 2024